SOTAVerified

point cloud upsampling

Papers

Showing 150 of 62 papers

TitleStatusHype
Arbitrary-Scale Point Cloud Upsampling by Voxel-Based Network with Latent Geometric-Consistent LearningCode2
GET-UP: GEomeTric-aware Depth Estimation with Radar Points UPsamplingCode1
A Conditional Denoising Diffusion Probabilistic Model for Point Cloud UpsamplingCode1
Arbitrary Point Cloud Upsampling with Spherical Mixture of GaussiansCode1
Efficient Point Clouds Upsampling via Flow MatchingCode1
Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learned Distance FunctionsCode1
Joint Point Cloud Upsampling and Cleaning with Octree-based CNNsCode1
Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set ProjectionCode1
Meta-PU: An Arbitrary-Scale Upsampling Network for Point CloudCode1
Neural Points: Point Cloud Representation with Neural Fields for Arbitrary UpsamplingCode1
Parametric Surface Constrained Upsampler Network for Point CloudCode1
PC^2-PU: Patch Correlation and Point Correlation for Effective Point Cloud UpsamplingCode1
Point Cloud Upsampling and Normal Estimation using Deep Learning for Robust Surface ReconstructionCode1
Point Cloud Upsampling Using Conditional Diffusion Module with Adaptive Noise SuppressionCode1
Point Cloud Upsampling via Cascaded Refinement NetworkCode1
Point Cloud Upsampling via Disentangled RefinementCode1
PU-Flow: a Point Cloud Upsampling Network with Normalizing FlowsCode1
PUGeo-Net: A Geometry-centric Network for 3D Point Cloud UpsamplingCode1
PU-Transformer: Point Cloud Upsampling TransformerCode1
RepKPU: Point Cloud Upsampling with Kernel Point Representation and DeformationCode1
Score-Based Point Cloud DenoisingCode1
SPU-Net: Self-Supervised Point Cloud Upsampling by Coarse-to-Fine Reconstruction with Self-Projection OptimizationCode1
SPU-PMD: Self-Supervised Point Cloud Upsampling via Progressive Mesh DeformationCode1
PU-GCN: Point Cloud Upsampling using Graph Convolutional NetworksCode0
SPU-IMR: Self-supervised Arbitrary-scale Point Cloud Upsampling via Iterative Mask-recovery NetworkCode0
TPU-GAN: Learning temporal coherence from dynamic point cloud sequencesCode0
SSPU-Net: Self-Supervised Point Cloud Upsampling via Differentiable RenderingCode0
"Zero-Shot" Point Cloud UpsamplingCode0
PU-EdgeFormer: Edge Transformer for Dense Prediction in Point Cloud UpsamplingCode0
iPUNet:Iterative Cross Field Guided Point Cloud UpsamplingCode0
PU-GAN: a Point Cloud Upsampling Adversarial NetworkCode0
PU-Net: Point Cloud Upsampling NetworkCode0
PU-Ray: Domain-Independent Point Cloud Upsampling via Ray Marching on Neural Implicit SurfaceCode0
PU-EVA: An Edge-Vector Based Approximation Solution for Flexible-Scale Point Cloud UpsamplingCode0
TP-NoDe: Topology-aware Progressive Noising and Denoising of Point Clouds towards UpsamplingCode0
CU-Net: Real-Time High-Fidelity Color Upsampling for Point CloudsCode0
A Convolutional Decoder for Point Clouds using Adaptive Instance Normalization0
Arbitrary point cloud upsampling via Dual Back-Projection Network0
4DSR-GCN: 4D Video Point Cloud Upsampling using Graph Convolutional Networks0
BIMS-PU: Bi-Directional and Multi-Scale Point Cloud Upsampling0
EGP3D: Edge-guided Geometric Preserving 3D Point Cloud Super-resolution for RGB-D camera0
Frequency-Selective Mesh-to-Mesh Resampling for Color Upsampling of Point Clouds0
GaussianPU: A Hybrid 2D-3D Upsampling Framework for Enhancing Color Point Clouds via 3D Gaussian Splatting0
SRMamba: Mamba for Super-Resolution of LiDAR Point Clouds0
Test-Time Adaptation for Point Cloud Upsampling Using Meta-Learning0
Joint Geometry and Attribute Upsampling of Point Clouds Using Frequency-Selective Models with Overlapped Support0
Learning Continuous Implicit Field with Local Distance Indicator for Arbitrary-Scale Point Cloud Upsampling0
Lidar Upsampling with Sliced Wasserstein Distance0
MBPU: A Plug-and-Play State Space Model for Point Cloud Upsamping with Fast Point Rendering0
Low-Rank Tensor Function Representation for Multi-Dimensional Data Recovery0
Show:102550
← PrevPage 1 of 2Next →

No leaderboard results yet.